Toward sustainable development in constraint programming

Nicolas  Beldiceanu; Pierre  Flener; JN Monette; J Pearson; Helmut Simonis

doi:10.1007/s10601-013-9152-4

Toward sustainable development in constraint programming

Nicolas Beldiceanu
, Pierre Flener
, JN Monette
, J Pearson
, Helmut Simonis

School of Computer Science and Information Technology

Research output: Contribution to journal › Article › peer-review

Abstract

We present a few challenges that we consider important to tackle for the future of constraint programming. The focus is put on simplifying the design and implementation of propagators in solvers.

Original language	English (Ireland)
Pages (from-to)	139-149
Journal	Constraints
Volume	19
DOIs	https://doi.org/10.1007/s10601-013-9152-4
Publication status	Published - 2014

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title = "Toward sustainable development in constraint programming",

abstract = "We present a few challenges that we consider important to tackle for the future of constraint programming. The focus is put on simplifying the design and implementation of propagators in solvers.",

author = "Nicolas Beldiceanu and Pierre Flener and JN Monette and J Pearson and Helmut Simonis",

year = "2014",

doi = "10.1007/s10601-013-9152-4",

language = "English (Ireland)",

volume = "19",

pages = "139--149",

journal = "Constraints",

issn = "1383-7133",

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AU - Beldiceanu , Nicolas

AU - Flener, Pierre

AU - Monette, JN

AU - Pearson, J

AU - Simonis, Helmut

PY - 2014

Y1 - 2014

N2 - We present a few challenges that we consider important to tackle for the future of constraint programming. The focus is put on simplifying the design and implementation of propagators in solvers.

AB - We present a few challenges that we consider important to tackle for the future of constraint programming. The focus is put on simplifying the design and implementation of propagators in solvers.

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DO - 10.1007/s10601-013-9152-4

M3 - Article

SN - 1383-7133

VL - 19

SP - 139

EP - 149

JO - Constraints

JF - Constraints

ER -

Toward sustainable development in constraint programming

Abstract

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